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Feng Liang

1994–2026 年に発表

別表記
Feng, Liang
458
論文数
25,531
被引用数
76
h 指数
241
i10 指数

被引用数

Feng Liang の年別被引用数1992 年: 被引用 1 件1994 年: 被引用 4 件1995 年: 被引用 16 件1996 年: 被引用 10 件1997 年: 被引用 3 件1998 年: 被引用 14 件1999 年: 被引用 9 件2000 年: 被引用 27 件2001 年: 被引用 45 件2002 年: 被引用 60 件2003 年: 被引用 84 件2004 年: 被引用 102 件2005 年: 被引用 113 件2006 年: 被引用 117 件2007 年: 被引用 121 件2008 年: 被引用 140 件2009 年: 被引用 123 件2010 年: 被引用 167 件2011 年: 被引用 210 件2012 年: 被引用 238 件2013 年: 被引用 253 件2014 年: 被引用 308 件2015 年: 被引用 336 件2016 年: 被引用 324 件2017 年: 被引用 360 件2018 年: 被引用 355 件2019 年: 被引用 617 件2020 年: 被引用 686 件2021 年: 被引用 759 件2022 年: 被引用 765 件2023 年: 被引用 863 件2024 年: 被引用 1,135 件2025 年: 被引用 879 件2026 年: 被引用 313 件1993 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,639 件、この内訳の 31.1%アメリカ合衆国: 引用元論文 2,368 件、この内訳の 20.2%イギリス: 引用元論文 506 件、この内訳の 4.3%インド: 引用元論文 375 件、この内訳の 3.2%ドイツ: 引用元論文 345 件、この内訳の 2.9%オーストラリア: 引用元論文 338 件、この内訳の 2.9%カナダ: 引用元論文 292 件、この内訳の 2.5%イタリア: 引用元論文 281 件、この内訳の 2.4%フランス: 引用元論文 269 件、この内訳の 2.3%日本: 引用元論文 254 件、この内訳の 2.2%韓国: 引用元論文 244 件、この内訳の 2.1%香港: 引用元論文 241 件、この内訳の 2.1%
0%31.1%その他 21.8%

機関

分野

  • Computer Science39.8%
  • Medicine15%
  • Biochemistry, Genetics and Molecular Biology12.4%
  • Engineering10.8%
  • Neuroscience4.1%
  • Agricultural and Biological Sciences4%
  • その他13.9%

トピック

  • Video Surveillance and Tracking Methods1.8%
  • Advanced Neural Network Applications1.6%
  • Advanced MRI Techniques and Applications1.6%
  • Domain Adaptation and Few-Shot Learning1.6%
  • Multimodal Machine Learning Applications1.5%
  • Machine Learning and ELM1.5%
  • その他90.4%

共著者

全論文

検索で開く
  1. Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

    著者: Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan - ICLR 2022 被引用: 584

  2. Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

    著者: NVIDIA, :, Azzolini, Alisson, Bai, Junjie, Brandon, Hannah, Cao, Jiaxin, Chattopadhyay, Prithvijit, Chen, Huayu, Chu, Jinju, Cui, Yin, Diamond, Jenna, Ding, Yifan, Feng, Liang, Ferroni, Francesco, Govindaraju, Rama, Gu, Jinwei, Gururani, Siddharth, Hanafi, Imad El, Hao, Zekun, Huffman, Jacob, Jin, Jingyi, Johnson, Brendan, Khan, Rizwan, Kurian, George, Lantz, Elena, Lee, Nayeon, Li, Zhaoshuo, Li, Xuan, Liao, Maosheng, Lin, Tsung-Yi, Lin, Yen-Chen, Liu, Ming-Yu, Lu, Xiangyu, Luo, Alice, Mathau, Andrew, Ni, Yun, Pavao, Lindsey, Ping, Wei, Romero, David W., Smelyanskiy, Misha, Song, Shuran, Tchapmi, Lyne, Wang, Andrew Z., Wang, Boxin, Wang, Haoxiang, Wei, Fangyin, Xu, Jiashu, Xu, Yao, Yang, Dinghao, Yang, Xiaodong, Yang, Zhuolin, Zhang, Jingxu, Zeng, Xiaohui, Zhang, Zhe - arXiv (Cornell University), CoRR 2025 被引用: 134

  3. Accelerating magnetic resonance imaging via deep learning

    著者: Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, Dong Liang - IEEE 13th International Symposium on Biomedical Imaging (ISBI) 2016 被引用: 837

  4. World Simulation with Video Foundation Models for Physical AI

    著者: Nvidia Nvidia, :, Arslan Ali, Junjie Bai, Bala, Maciej, Yogesh Balaji, Blakeman, Aaron, Tiffany Cai, Jiaxin Cao, Tianshi Cao, Elizabeth Cha, Yu-Wei Chao, Prithvijit Chattopadhyay, Mike Y. Chen, Yongxin Chen, Yu Chen, Shuai Cheng, Yin Cui, Diamond, Jenna, Yifan Ding, Jiaojiao Fan, Linxi Fan, Feng, Liang, Francesco Ferroni, Sanja Fidler, Xiao Fu, Ruiyuan Gao, Yunhao Ge, Jinwei Gu, Aryaman Gupta, Siddharth Gururani, Imad El Hanafi, Ali Hassani, Hao, Zekun, J. B. Huffman, Joel Jang, Pooya Jannaty, Jan Kautz, Grace Y. Lam, Xuan Li, Zhaoshuo Li, Maosheng Liao, Chen-Hsuan Lin, Tsung‐Yi Lin, Yen-Chen Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Ancheng Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Seungjun Nah, Yashraj Narang, Abhijeet Panaskar, Lindsey Pavao, Trung Kien Pham, Morteza Ramezanali, Fitsum A. Reda, Scott Reed, Xuanchi Ren, Haonan Shao, Yue Shen, Stella Shi, Shuran Song, Bartosz Stefaniak, Shangkun Sun, Shitao Tang, Sameena Tasmeen, Lyne P. Tchapmi, Wei‐Cheng Tseng, Jibin Varghese, Andrew Z. Wang, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Jiashu Xu, Yang, Dinghao, Xiaodong Yang, Haotian Ye, Seonghyeon Ye, Xiaohui Zeng, Jing Zhang, Qinsheng Zhang, Kaiwen Zheng, Andrew X. Zhu, Yuke Zhu - ArXiv.org, CoRR 2025 被引用: 113

  5. FedRec: Federated Recommendation With Explicit Feedback

    著者: Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming - IEEE Intelligent Systems, IEEE Intell. Syst. 2020 被引用: 207

  6. FedRec++: Lossless Federated Recommendation with Explicit Feedback

    著者: Feng Liang, Weike Pan, Zhong Ming - AAAI Conference on Artificial Intelligence 2021 被引用: 126

  7. Fully Quantized Network for Object Detection

    著者: Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan, Rui Fan - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 被引用: 212

  8. Nanomaterial-Based Tumor Photothermal Immunotherapy

    著者: Peng Xu, Feng Liang - International Journal of Nanomedicine 2020 被引用: 202

  9. Ceria nanoparticles ameliorate white matter injury after intracerebral hemorrhage: microglia-astrocyte involvement in remyelination

    著者: Jingwei Zheng, Jianan Lü, Shuhao Mei, Haijian Wu, Zeyu Sun, Yuanjian Fang, Shenbin Xu, Xiaoyu Wang, Ligen Shi, Weilin Xu, Sheng Chen, Jun Yu, Feng Liang, Jianmin Zhang - Journal of Neuroinflammation 2021 被引用: 138

  10. Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering

    著者: Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han - IEEE Transactions on Circuits and Systems for Video Technology, IEEE Trans. Circuits Syst. Video Technol. 2023 被引用: 47

  11. Transmission of Alzheimer’s disease-associated microbiota dysbiosis and its impact on cognitive function: evidence from mice and patients

    著者: Yiying Zhang, Yuan Shen, Ning Liufu, Ling Liu, Wei Li, Zhongyong Shi, Hailin Zheng, Xinchun Mei, Chih‐Yu Chen, Zengliang Jiang, Shabnamsadat Abtahi, Yuanlin Dong, Feng Liang, Yujiang Geno Shi, Leo L. Cheng, Guang Yang, Jing X. Kang, Jeremy E. Wilkinson, Zhongcong Xie - Molecular Psychiatry 2023 被引用: 70

  12. A small molecule that induces translational readthrough of CFTR nonsense mutations by eRF1 depletion

    著者: Jyoti Sharma, Ming Du, Eric C. Wong, Venkateshwar Mutyam, Yao Li, Jianguo Chen, Jamie R Wangen, K. Thrasher, Lianwu Fu, Ning Peng, Liping Tang, Kaimao Liu, Bini Mathew, Robert Bostwick, Corinne E. Augelli‐Szafran, Hermann Bihler, Feng Liang, Jérôme Mahiou, Josef Saltz, András Rab, Jeong S. Hong, Eric J. Sorscher, Eric M. Mendenhall, Candice J. Coppola, Kim M. Keeling, Rachel Green, Martin Mense, Mark J. Suto, Steven M. Rowe, David M. Bedwell - Nature Communications 2021 被引用: 125

  13. Metabolites as extracellular vesicle cargo in health, cancer, pleural effusion, and cardiovascular diseases: An emerging field of study to diagnostic and therapeutic purposes

    著者: Yan Zhang, Feng Liang, DuoDuo Zhang, Shuang Qi, Yan Liu - Biomedicine & Pharmacotherapy 2022 被引用: 68

  14. CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models

    著者: Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Feng, Liang, Kay Chen Tan - arXiv (Cornell University), CoRR 2024 被引用: 26

  15. COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications

    著者: Jieru Zhao, Feng Liang, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He - IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2017 被引用: 101

  16. Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

    著者: Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 被引用: 378

  17. Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions

    著者: Kaihong Zhang, Heqi Yin, Feng Liang, Jingbo Liu - ICML 2024 被引用: 53

  18. Coronary heart disease and atrial fibrillation: a vicious cycle

    著者: Feng Liang, Yi Wang - American Journal of Physiology-Heart and Circulatory Physiology 2020 被引用: 155

  19. Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA

    著者: Jieru Zhao, Feng Liang, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He - IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2019 被引用: 63

  20. Mixtures of g Priors for Bayesian Variable Selection

    著者: Feng Liang, Rui Paulo, Germán Molina, Merlise A. Clyde, Jim O Berger - Journal of the American Statistical Association 2008 被引用: 1,119

  21. Fixed-time Synchronization of Coupled Memristive Complex-valued Neural Networks

    著者: Feng Liang, Cheng Hu, Juan Yu, Haijun Jiang, Shiping Wen - Chaos Solitons & Fractals 2021 被引用: 76

  22. Looking Backward: Streaming Video-to-Video Translation with Feature Banks

    著者: Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu - ICLR 2025 被引用: 36

  23. Machine learning for hydrologic sciences: An introductory overview

    著者: Tianfang Xu, Feng Liang - Wiley Interdisciplinary Reviews Water 2021 被引用: 255

  24. Sirt3 Ameliorates Oxidative Stress and Mitochondrial Dysfunction After Intracerebral Hemorrhage in Diabetic Rats

    著者: Jingwei Zheng, Ligen Shi, Feng Liang, Weilin Xu, Tao Li, Liansheng Gao, Zeyu Sun, Jun Yu, Jianmin Zhang - Frontiers in Neuroscience 2018 被引用: 187